Carbon Inequality Embodied in Inter-Provincial Trade of China’s Yangtze River Economic Belt

Regional trade leads to carbon transfer, which in turn raises the issue of carbon inequality. However, less existing research has focused on carbon inequality within megaregions. Combining multi-regional input-output analysis, carbon Gini coefficients and carbon deviation coefficients, this paper presents a comprehensive analysis of carbon equity in inter-provincial trade in the Yangtze River Economic Belt (YEB) from the perspective of economic benefits and environmental pressure. The results show that: (1) Carbon emissions from the production and consumption sides of the 11 provinces in the YEB vary considerably. (2) Significant carbon inequality exists in the YEB region. This is manifested in the unequal relationship between the transfer of embodied carbon emissions and economic benefits, as well as the difference in carbon deviation coefficients. Based on the results of our research, this paper can help provide theoretical support and decision-making reference for implementing a differentiated carbon emission reduction responsibility mechanism and establishing a coordinated carbon emission reduction responsibility system.

[1]  A. Elshkaki,et al.  The spatial effect of industrial transfer on carbon emissions under firm location decision:A carbon neutrality perspective. , 2022, Journal of environmental management.

[2]  Miao Wang,et al.  Tracking the inequalities of global per capita carbon emissions from perspectives of technological and economic gaps. , 2022, Journal of environmental management.

[3]  Siqin Xiong,et al.  Carbon inequality in global trade: Evidence from the mismatch between embodied carbon emissions and value added , 2022, Ecological Economics.

[4]  D. Guan,et al.  Large inter-city inequality in consumption-based CO2 emissions for China's pearl river basin cities , 2022, Resources, Conservation and Recycling.

[5]  Yalin Lei,et al.  Temporal changes in China's production and consumption-based CO2 emissions and the factors contributing to changes , 2020 .

[6]  Licheng Sun,et al.  Analyzing carbon emission transfer network structure among provinces in China: new evidence from social network analysis , 2020, Environmental Science and Pollution Research.

[7]  M. Song,et al.  Regional determinants of China’s consumption-based emissions in the economic transition , 2020, Environmental Research Letters.

[8]  J. Meng,et al.  Carbon inequality and economic development across the Belt and Road regions. , 2020, Journal of environmental management.

[9]  Baochen Yang,et al.  Carbon quota allocation at the provincial level in China under principles of equity and efficiency , 2020, Carbon Management.

[10]  Bingqian Yan,et al.  Economic gains and environmental losses from international trade: A decomposition of pollution intensity in China's value-added trade , 2019, Energy Economics.

[11]  E. Hertwich,et al.  The flow of embodied carbon through the economies of China, the European Union, and the United States , 2019, Resources, Conservation and Recycling.

[12]  T. Ding,et al.  Carbon emission spillover and feedback effects in China based on a multiregional input-output model , 2019, Resources, Conservation and Recycling.

[13]  Li Li,et al.  Chinese Provinces' CO2 Emissions Embodied in Imports and Exports , 2018, Earth's Future.

[14]  Z. Mi,et al.  China's “Exported Carbon” Peak: Patterns, Drivers, and Implications , 2018 .

[15]  L. Shao,et al.  Carbon emission imbalances and the structural paths of Chinese regions , 2018 .

[16]  Laixiang Sun,et al.  Global carbon inequality , 2017 .

[17]  Shiyi Chen,et al.  Analysis of CO2 emissions embodied in China's bilateral trade: a non-competitive import input–output approach , 2017 .

[18]  K. Hubacek,et al.  Household carbon footprints in the Baltic States: A global multi-regional input–output analysis from 1995 to 2011 , 2017 .

[19]  K. Jayanthakumaran,et al.  Bi-lateral CO2 emissions embodied in Australia–China trade , 2016 .

[20]  Bin Chen,et al.  Tracking Inter-Regional Carbon Flows: A Hybrid Network Model. , 2016, Environmental science & technology.

[21]  Yong Geng,et al.  Changes of CO2 emissions embodied in China–Japan trade: drivers and implications , 2016 .

[22]  Ju'e Guo,et al.  The effects of direct trade within China on regional and national CO2 emissions , 2014 .

[23]  Andy Haines,et al.  Climate change: challenges and opportunities for global health. , 2014, JAMA.

[24]  Fei Teng,et al.  A comparison of carbon allocation schemes: On the equity-efficiency tradeoff , 2014 .

[25]  Weidong Liu,et al.  Outsourcing CO2 within China , 2013, Proceedings of the National Academy of Sciences.

[26]  Glen P. Peters,et al.  A MULTI-REGION INPUT–OUTPUT TABLE BASED ON THE GLOBAL TRADE ANALYSIS PROJECT DATABASE (GTAP-MRIO) , 2013 .

[27]  Zhi Wang,et al.  Tracing Value-Added and Double Counting in Gross Exports , 2012 .

[28]  Stefan Giljum,et al.  Carbon and Materials Embodied in the International Trade of Emerging Economies , 2012 .

[29]  Ju’e Guo,et al.  China’s provincial CO2 emissions embodied in international and interprovincial trade , 2012 .

[30]  Glen P. Peters,et al.  Pathways of human development and carbon emissions embodied in trade , 2012 .

[31]  B. W. Ang,et al.  Multi-region input–output analysis of CO2 emissions embodied in trade: The feedback effects , 2011 .

[32]  Jian Chai,et al.  China’s regional CO2 emissions: Characteristics, inter-regional transfer and emission reduction policies , 2011 .

[33]  Yan Li,et al.  Carbon inequality at the sub-national scale: A case study of provincial-level inequality in CO2 emissions in China 1997-2007 , 2011 .

[34]  Teng Fei,et al.  How to Measure Carbon Equity: Carbon Gini Index Based on Historical Cumulative Emission Per Capita , 2011 .

[35]  H. Haberl,et al.  International trade and Austria's livestock system: Direct and hidden carbon emission flows associated with production and consumption of products , 2010 .

[36]  C. Weber,et al.  The drivers of Chinese CO2 emissions from 1980 to 2030 , 2008 .

[37]  Emilio Padilla,et al.  Inequality in CO2 emissions across countries and its relationship with income inequality: A distributive approach , 2006 .

[38]  C. Azar,et al.  Estimates of trends in global income and resource inequalities , 2005 .

[39]  Manfred Lenzen,et al.  CO2 Multipliers in Multi-region Input-Output Models , 2004 .

[40]  Quentin Wodon,et al.  Inequality in CO2 Emissions Between Poor and Rich Countries , 1997 .

[41]  W. Leontief.  Environmental Repercussions and the Economic Structure: An Input-Output Approach , 1970 .

[42]  Yanmei Li,et al.  Comparison of economic benefits and embodied carbon emissions of intraregional value-added trade in the Beijing-Tianjin-Hebei region , 2019, 资源科学.

[43]  王赛鸽 Wang Saige,et al.  Virtual water analysis for the Jing-Jin-Ji region based on multiregional input-output model , 2018 .

[44]  Yang Yu,et al.  Research on carbon emissions embodied in trade between China and South Korea , 2017 .

[45]  S. Moser.  Communicating climate change: history, challenges, process and future directions , 2010 .

[46]  L. Groot.  Carbon Lorenz curves , 2010 .

[47]  Chuanwang Sun,et al.  Evaluating carbon dioxide emissions in international trade of China , 2010 .